XPS: CLCCA: Allocating Heterogeneous Datacenter Hardware to Strategic Agents

随着云计算的民主化，越来越多的软件任务需要云计算的计算。可扩展的数据中心计算是21世纪的当务之急，能源效率是最普遍的挑战。提高从海量数据中提取价值的能力需要效率上的数量级提升。虽然异构硬件系统提供了效率，但它们也使资源管理复杂化。使用经济机制管理新的硬件架构是一种从质量上减轻这种复杂性的新方法。研究人员提出了资源分配机制，鼓励在异构硬件的数据中心的真实参与。资源分配将硬件与软件配对。用户可以明确要求特定数量和类型的硬件。或者用户可以定义他们的性能价值，然后代理用它来竞标硬件。两种分配机制都依赖于用户偏好的真实表示。研究人员将量化由数据中心战略行为引起的低效率，并将设计在战略代理参与系统时稳健的分配机制。女性和代表性不足的学生将从这一研究经验中受益。

With the democratization of cloud computing, increasingly diverse software tasks demand computation from cloud computing. Scalable datacenter computing is a 21st century imperative and energy efficiency is the most pervasive challenge. Increasing capability to extract value from the data deluge requires order-of-magnitude gains in efficiency. While heterogeneous hardware systems provide efficiency, they also complicate resource management. Managing new hardware architectures with economic mechanisms is a qualitatively new approach to mitigate this complexity.The investigators propose resource allocation mechanisms that encourage truthful participation in datacenters with heterogeneous hardware. Resource allocation pairs hardware with software. Users may explicitly request specific amounts and types of hardware. Or users may define their value for performance, which agents then use to bid for hardware. Both allocation mechanisms rely on the truthful representation of preferences from users. The investigators will quantify inefficiencies arising from strategic behavior in datacenters and will design allocation mechanisms that are robust when strategic agents participate in the system. Women and under-represented students will benefit from this research experience.